Picjam is AI visual merchandising for ecommerce catalogues. There are no prompts to learn: Picjam suggests the shots each product needs from your product images and sales data, then generates them: on-model, ghost mannequin, packshot, lifestyle, and video. Scoring is optional; you can score a listing to see which shots are missing, or generate directly. It is not only a one-off AI fashion-model generator. Catalogue teams use it to fix thin or inconsistent galleries before they spend more on traffic. Book a demo to see it on your own catalogue.scorebook a demo

You can start with the listing score, or skip it and generate. Scoring shows which frames are missing, then Picjam generates only those frames so the grid stays consistent across the catalogue. If you already know the shot you want, you generate it directly: on-model, ghost mannequin, packshot, lifestyle, or video. A clean product shot on a ghost mannequin or flat lay is the usual input. Self-serve is enough for a brand team. Larger catalogues can book a demo and run it as a managed workflow, including Shopify.book a demo

Picjam is sold as plans, not a pile of credits per photo; see current pricing on the pricing page. That is the right fit when you are shooting a drop of dozens of SKUs and would otherwise book a studio day, a model, and retouching per look. If you only need a handful of campaign images, a credit-based model generator can be cheaper. Not sure it fits? Book a demo and see Picjam on your own products before you commit.pricingbook a demo

Picjam is not a free generator. It is a paid catalogue workflow; see current pricing for plan details, or book a demo to try it on your own products first. Ghost mannequin app free and AI fashion model generator free are different jobs. Those tools give you one cutout or one model. Picjam is the catalogue workflow around them.score your listings

Marketers, digital, and IT teams at apparel brands who own a catalogue, not a one-off campaign. It pays off when you have lots of SKUs and the galleries don't match: missing on-model, missing ghost, missing video. Fashionova, Brand Collective, Yarra Trail, and Marco Polo use it that way. It also works for footwear, homeware, and beauty, but apparel catalogues are where the scoring loop is sharpest. If you want a single AI model for an ad, you can still generate that shot on its own.

Ghost mannequin is one output, not the whole product. Picjam can remove the mannequin and fill a hollow-body shot on its own, or do it when the listing score says that frame is missing. It can also add on-model, packshot, and video in the same pass, which a ghost-only app does not do. If ghost mannequin is the only job, start at the ghost mannequin tool. If the whole gallery is thin, score the listing first.ghost mannequin toolscore the listing

Yes. You can generate an on-model shot whenever you want, from a library model or one matched to the brand. You do not have to score the listing first. Scoring is there when you want Picjam to tell you the on-model frame is missing and generate it as part of the gallery. Use the virtual model tool when you want to generate a model shot directly.virtual model tool

Yes. Images and video you generate are licensed for commercial use, including product listings, ads, social, and print, on every plan.

Cancel any time, and your plan runs to the end of the current billing period. We don't refund generations already processed, since the compute can't be reversed. Not sure if Picjam fits? Book a demo and we'll show you your own listings scored first.